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9 changes: 6 additions & 3 deletions index.json
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
{
"id": "tutorial-ecv-for-climate-change-global-temperature-change",
"title": "How to work with the Essential Climate Variables on Earth Data Hub",
"description": "This notebook will provide you guidance on how to access and use the dataset Essential climate variables from 1979 to present in ARCO Zarr format optimised for time series analysis",
"source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-ecv-for-climate-change-global-temperature-change.ipynb",
"try_on_insula": true,
"export": "./use-cases/tutorial-ecv-for-climate-change-global-temperature-change.html",
Expand All @@ -11,7 +12,7 @@
{
"id": "tutorial-era5-land-floods-precipitation-anomaly-in-greece",
"title": "ERA5 land: storm Daniel flood, Greece 2023",
"description": "This notebook will provide you guidance on how to access and use the reanalysis-era5-land-no-antartica-v0.zarr dataset on Earth Data Hub. The first goal is to compute the total precipitation observed during the Storm Daniel event, from 6 to 7 September 2023, in Greece, and compare it with the average 1991-2020 precipitation in the same area. The second goal is to compare the 2023 cumulative precipitation on a specific location (Greece interland) with the cumulative precipitation of past years (1991-2022) for the same location.",
"description": "This notebook will provide you guidance on how to access and use the dataset ERA5-Land hourly data in ARCO Zarr format optimised for time series analysis",
"source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-era5-land-floods-precipitation-anomaly-in-greece.ipynb",
"try_on_insula": true,
"export": "./use-cases/tutorial-era5-land-floods-precipitation-anomaly-in-greece.html",
Expand All @@ -22,7 +23,7 @@
{
"id": "tutorial-era5-single-levels-climatological-analysis-of-temperature-in-germany",
"title": "ERA5 single levels: climatological analysis of temperature in Germany",
"description": "This notebook will provide you guidance on how to access and use the reanalysis-era5-single-levels.zarr dataset on Earth Data Hub. The first goal is to compute the 2 metre temperature anomaly for the month of October 2023, in the Germany area, against the 1981-2010 reference period. The second goal is to compute the 2 metre temperature climatology (monthly means and standard deviations) in Berlin for the same reference period and compare it with the monthly averages of 2023.",
"description": "This notebook will provide you guidance on how to access and use the dataset ERA5 hourly data on single levels in ARCO Zarr format optimised for time series analysis",
"source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-era5-single-levels-climatological-analysis-of-temperature-in-germany.ipynb",
"try_on_insula": true,
"export": "./use-cases/tutorial-era5-single-levels-climatological-analysis-of-temperature-in-germany.html",
Expand All @@ -33,6 +34,7 @@
{
"id": "tutorial-copernicus-dem-europe",
"title": "How to work with the Copernicus DEM data on Earth Data Hub",
"description": "This notebook will provide you guidance on how to access and use the dataset Copernicus DEM Global 30m in ARCO Zarr format optimised for time series analysis",
"source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-copernicus-dem-europe.ipynb",
"try_on_insula": true,
"export": "./use-cases/tutorial-copernicus-dem-europe.html",
Expand All @@ -57,6 +59,7 @@
{
"id": "tutorial-climate-dt-single-levels-heating-degree-days",
"title": "Climate Adaptation Digital Twin: heating degree days",
"description": "This notebook will provide you guidance on how to access and use the dataset Climate DT, ScenarioMIP, SSP3-7.0, IFS-NEMO, hourly data on single-levels in ARCO Zarr format optimised for time series analysis",
"source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-climate-dt-single-levels-heating-degree-days.ipynb",
"try_on_insula": true,
"export": "./use-cases/tutorial-climate-dt-single-levels-heating-degree-days.html",
Expand All @@ -65,7 +68,7 @@
{
"id": "tutorial-climate-dt-single-levels-high-resolution-climatological-analysis-of-temperature-in-germany",
"title": "Climate Adaptation Digital Twin: high resolution fields on a single level or surface",
"description": "This notebook will provide you guidance on how to access and use the SSP3-7.0-IFS-NEMO-0001-high-sfc-v0.zarr datset on Earth Data Hub. This is a sample dataset for the Destine Climate Adaptation Digital Twin.\n\nOur first goal is to plot the mean 2 metre temperature in January 2025 over Central Europe.\n\nOur second goal is to compute the 2 metre temperature climatology (monthly means and standard deviations) in Berlin for the 2020-2025 reference period.",
"description": "This notebook will provide you guidance on how to access and use the dataset Climate DT, ScenarioMIP, SSP3-7.0, IFS-NEMO, hourly data on single-levels in ARCO Zarr format optimised for time series analysis",
"source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-climate-dt-single-levels-high-resolution-climatological-analysis-of-temperature-in-germany.ipynb",
"try_on_insula": true,
"export": "./use-cases/tutorial-climate-dt-single-levels-high-resolution-climatological-analysis-of-temperature-in-germany.html",
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